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One of the most common primary resistance mechanism of multi-drug resistant (MDR) Gram negative pathogenic bacteria to combat β-lactam antibiotics, such as penicillins, cephalosporins and carbapenems is the generation of β- lactamases. The uropathogenic is mostly getting multi-drug resistance due to the synthesis of AmpC β-lactamases and therefore new antibiotics and inhibitors are needed to treat the evolving infections. The current study was designed for targetting AmpC β-lactamase of using molecular docking based virtual screening, linking fragments for designing novel compounds and binding mode analysis using molecular dynamic simulation with target protein. The FCH group all-purpose fragment library consisting of 9388 fragments has been screened against AmpC β-lactamase protein of and the antibiotics and anti-infectives used in treatment of Urinary tract Infections (UTIs) were also screened with AmpC β-lactamase protein. Among the 9388 fragments, 339 fragment candidates were selected and linked with cefepime antibiotic having maximum binding affinity for AmpC target protein. Computational analysis of interactions as well as molecular dynamics (MD) simulations were also conducted for identifying the most promising ligand-pocket complexes from docking investigations to comprehend their thermodynamic properties and verify the docking outcomes as well. Overall, the linked complexes (LCs) showed good binding interactions with AmpC β-lactamase. Interestingly, our fragment-based LCs remained relatively stable in comparison with cefepime antibiotic. Moreover, S12 fragment linked complex remained the most stable during 50 ns with remarkable number of interactions indicating it as promising candidate in novel lead discovery against MDR infections.
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http://dx.doi.org/10.1016/j.sjbs.2023.103884 | DOI Listing |
Mol Biol Rep
September 2025
Department of Biosciences, Integral University, Kursi Road, Lucknow, 226026, India.
Background: The river ecosystems provide habitats and source of water for a number of species including humans. The uncontrolled accumulation of pollutants in the aquatic environment enhances the development of antibiotic-resistant bacteria and genes.
Methods: Water samples were collected seasonally from different sites of Gomti and Ganga River.
In Silico Pharmacol
September 2025
Institute of Bioresources and Sustainable Development, Takyelpat, Imphal, 795001 Manipur India.
Abstract: The rise of multidrug-resistant poses significant challenges in hospital settings. This study evaluates the antimicrobial potential of the aqueous extract of (AETC) against strain AB0014, isolated from a preterm neonate presenting sepsis. The minimum inhibitory concentration (MIC) was determined using the microdilution method.
View Article and Find Full Text PDFJ Microbiol Immunol Infect
August 2025
Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, And College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan. Electronic address:
Background: Third-generation cephalosporin-resistant Enterobacterales is a recognized global concern. This study investigated the molecular epidemiology of β-lactamase genes and antimicrobial susceptibility patterns among ceftriaxone-resistant Enterobacterales causing intra-abdominal and urinary tract infections in Taiwan between 2009 and 2019.
Methods: Data from the SMART surveillance program were analyzed, including Enterobacterales isolates with ceftriaxone minimum inhibitory concentrations ≥4 μg/mL.
Infect Disord Drug Targets
September 2025
Department of Microbiology, College of Medical Laboratory Science, Sudan University of Science and Technology, P.O. Box 407, Khartoum, Sudan.
Introduction: The rise of Multidrug-resistant (MDR) Enterobacter species is a significant global health concern, particularly in hospital settings where they contribute to nosocomial infections. This study aimed to determine the prevalence of MDR Enterobacter spp. in clinical specimens from Khartoum State, Sudan, to detect key resistance genes (CTX-M, AmpC, OXA-48, NDM-1, VIM, IMP, MCR-1, SHV, and TEM), and to analyze the correlation between genotypic and phenotypic resistance patterns.
View Article and Find Full Text PDFJ Clin Epidemiol
September 2025
Center of Clinical Investigations, INSERM CIC1426, Robert Debré University Hospital, APHP.Nord, Paris, France; Université Paris Cité, UMR 1343, Perinatal and Pediatric Pharmacology and Therapeutic Assessment, Paris, France.
Objectives: Joinpoint regression (JR) is implemented in time series analysis to identify trend changes without predefined shift points. This study compares the performance of the Joinpoint Regression Program (JRP) and R 'segmented' package in detecting joinpoints using simulated and real-world data on pediatric mental-health (MH)-related hospitalizations.
Study Design And Setting: Simulated datasets (n=1000) were generated with varying residual autocorrelation, trend change magnitude, and joinpoint locations to evaluate the performance of both software (accuracy, specificity, coverage of the 95% confidence interval [95%CI] coverage, monthly percent change [MPC] coverage of the last segment).